Dynamic monitoring of network public opinion diffusion of major public crisis based on deviation degree

Abstract

In order to solve the problems existing in traditional methods such as low accuracy and long monitoring time, a dynamic monitoring method of network public opinion diffusion of major public crisis based on deviation degree is proposed. Firstly, the crawler is used to collect network public opinion data, and the collected data is preprocessed. Secondly, the commonly used query keywords in search engines are classified into statistics, and the diffusion anomalies of network public opinions on major public crisis are monitored with the deviation degree. Finally, according to the monitoring results, a report on the network public opinion of major public crisis is generated to realise the dynamic monitoring of the spread of network public opinion of major public crisis. Experimental results show that the designed dynamic monitoring method has the characteristics of high accuracy, low deviation, short monitoring time and high reliability, and the practical application effect is good.